Work with Us
Good ideas wither on the vine without the right people to champion and implement them. By leveraging the unique talents of our AidData team members, we transform game-changing ideas into high-impact activities.
If your ideal workday involves working alongside bright, driven people excited about using open data to make the world a better place, consider applying for one of our open positions below. Come join our high-energy, positive and creative team!
AidData’s Data Analyst will work closely with the Data Manager and the Program Managers to manage a large database tracking over $5.4 trillion dollars of aid allocation. The position will also help to support the creation of datasets for researchers from the world’s leading universities who are committed to using geocoded aid data and other sources of geospatial information to help the global development community make evidence-based policy and programming decisions. Responsibilities will include data acquisition and quality assurance, product development and project management, and delivery of datasets.
The College of William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. The College is an Equal Opportunity/Affirmative Action employer. This is a restricted position and continued employment is dependent on funding.
Apply online at: https://jobs.wm.edu/postings/22623
- A Bachelor’s degree in either a development finance-related discipline or computer science discipline, such as economics, political science, international development, GIS, information systems or public policy; or commensurate professional experience
- Computer programming experience, such as R, SQL, Python, Perl, and/or shell.
- Relational database management experience, such as Postgre, MongoDB, MySQL, SQLite
- Analytical skills, a detail oriented nature and demonstrated experience working with complex datasets
- Excellent technical writing skills
- Experience with systems administration, database design and data-driven programming.
- Ability and eagerness to learn and employ new tools as needed.
- Strong and effective inter-personal and communication skills and the ability to interact professionally with a diverse group of clients, partners, users, and staff
- Ability to work independently and collaboratively in a demanding and complex work environment, to carry out assignments in a timely manner, and to adapt to changing situations and priorities
- Ability to work closely with project management teams to evaluate current systems and make decisions about future programming and development
- Ability to multi-task by working on projects while still undertaking day-to-day operations
- Ability to query, join and analyze large data sets.
- Familiarity with Version Control systems and software (e.g. GitHub, SVN).
- Familiarity with geospatial software and techniques;
- Geographic information systems and remote sensing experience, such as ArcGIS, Idrisi Taiga, and or Erdas Imagine
- Experience with Natural Language Processing and/or Machine Learning
- Strong knowledge of open data standards
- Familiarity with International Aid Finance data standards and terminology
- Familiarity with project and/or fiscal management
427 Scotland Street, Williamsburg, VA 23185
Commensurate with experience
AidData MPP Fellow at College of William & Mary
This fellowship, beginning in the Fall of 2016, will support a College of William & Mary Masters of Public Policy graduate student to work with AidData, a research center focused on using data, tools and research to target, coordinate, and evaluate foreign aid more effectively. This two year fellowship is intended for students enrolled in the International Development and Policy track and includes a stipend, joint student-faculty research, and placement support for a summer internship. Competitive candidates will have a background in policy analysis, econometrics, impact evaluation, and/or statistics. One or more AidData Fellowships will be awarded annually.
- BA in economics or serious quantitative exposure in political science or related social sciences.
- Comfort with Stata and/or R required.
- Some prior experience either as an RA or with a field organization preferred.
For more information about the application process, please visit http://www.wm.edu/as/publicpolicy/index.php